Please use this identifier to cite or link to this item: https://doi.org/10.1121/1.4747000
Title: Imaging small three-dimensional elastic inclusions by an enhanced multiple signal classification method
Authors: Song, R.
Chen, X. 
Zhong, Y. 
Issue Date: Oct-2012
Source: Song, R., Chen, X., Zhong, Y. (2012-10). Imaging small three-dimensional elastic inclusions by an enhanced multiple signal classification method. Journal of the Acoustical Society of America 132 (4) : 2420-2426. ScholarBank@NUS Repository. https://doi.org/10.1121/1.4747000
Abstract: In this paper, an enhanced multiple signal classification (MUSIC) algorithm is introduced to retrieve small three-dimensional elastic inclusions. First, the multistatic response (MSR) matrix is built by two different ways depending on considering the multiple scattering effect or not. The eigenvalue structure of the MSR matrix is analyzed to identify the degenerate case of inclusions. Second, the pseudo-spectrum function is built with an optimal test direction on each node, where a balancing technique is employed to ensure the numerical stability. Benefitting from this MUSIC indicator, the degenerate inclusions can be located with a good performance against noise. Numerical simulations show the proposed method has wider applicability, better resolution, and more robust in the presence of noise than the standard MUSIC methods. © 2012 Acoustical Society of America.
Source Title: Journal of the Acoustical Society of America
URI: http://scholarbank.nus.edu.sg/handle/10635/56254
ISSN: 00014966
DOI: 10.1121/1.4747000
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